axolotl-ai-cloud

axolotl-ai-cloud/axolotl

Instructions file CodexOpenCode

Instructions for axolotl-ai-cloud/axolotl, covering axolotl, tech stack, commands, training methods and config pattern.

axolotl-ai-cloud/axolotl

Instructions file

Instructions for axolotl-ai-cloud/axolotl, a project described as: Go ahead and axolotl questions.

axolotl-ai-cloud/axolotl

Agent

Online RL with verifiable reward functions. For full config reference, async features, and scaling, see grpo.qmd. For vLLM setup, see vllmserving.qmd.

axolotl-ai-cloud/axolotl

Agent

Model-specific quirks, required settings, and known issues. Check this before debugging training failures on specific model families.

axolotl-ai-cloud/axolotl

Agent

Guide for debugging and adding support for new model architectures in axolotl. Based on lessons learned from Gemma4, Gemma3, Qwen2-VL, and other multimodal/MoE models.

axolotl-ai-cloud/axolotl

Agent

Reference for DPO, IPO, KTO, ORPO, and SimPO. For config templates and dataset format examples, see rlhf.qmd. For GRPO, see grpo.qmd. For EBFT, see ebft.qmd.

axolotl-ai-cloud/axolotl

Agent

Train on raw text with no input masking. Two approaches depending on dataset size.

axolotl-ai-cloud/axolotl

Agent

Train models to score responses for use as reward signals in RL. For full docs, see rewardmodelling.qmd.

axolotl-ai-cloud/axolotl

Agent

Supervised fine-tuning pipeline reference. For config templates and dataset format examples, see getting-started.qmd and dataset-formats/.